A comparative study on score level fusion techniques and MACE gabor filters for face recognition in the presence of noises and blurring effects. Fernandes, S. L., Bala, G. J., Nagabhushan, P., & Mandal, S. 2013 International Conference on Cloud & Ubiquitous Computing & Emerging Technologies, Ieee, nov, 2013. Paper doi bibtex @Article{Fernandes_2013_15816,
author = {Fernandes, Steven L. and Bala, G. Josemin and Nagabhushan, P. and Mandal, S.K.},
journal = {2013 International Conference on Cloud & Ubiquitous Computing & Emerging Technologies},
month = {nov},
pages = {193--198},
publisher = {Ieee},
title = {A comparative study on score level fusion techniques and MACE gabor filters for face recognition in the presence of noises and blurring effects},
year = {2013},
isbn = {978-1-4799-2235-2},
keywords = {component analysis,decomposition,filter,fisherfaces,fourier spectra,gabor,independent,minimum average correlation energy,principal component analysis,singular value,sparse representation},
url = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6701502},
doi = {10.1109/CUBE.2013.43},
title_with_no_special_chars = {A Comparative Study on Score Level Fusion Techniques and MACE Gabor Filters for Face Recognition in the Presence of Noises and Blurring Effects}
}
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